Systems and methods for generating personalized recommendation explanations

A system comprising:

• a reception module, stored in memory, that receives, by a computing device, a request to generate an explanation of a recommendation to a user, wherein the request comprises a recommended title and a profile history of the user;
• a selection module, stored in memory, that selects, by the computing device, a set of previous titles from the profile history that exceeds a threshold similarity score for the recommended title;
• an extraction module, stored in memory, that extracts, by fetching descriptive information about each previous title in the set of previous titles, a set of keywords for the set of previous titles;
• a prompting module, stored in memory, that automatically prompts, based on the set of keywords, a generative artificial intelligence (AI) model to generate the explanation of the recommendation using the set of previous titles;
• a safety module, stored in memory, that performs a safety check to filter the generated explanation;
• a sending module, stored in memory, that sends, by the computing device, the recommendation and the explanation to a client device of the user;
• and
• at least one processor that executes the reception module, the selection module, the extraction module, the prompting module, the safety module, and the sending module.

A non-transitory computer-readable medium comprising one or more computer-executable instructions that, when executed by at least one processor of a computing device, cause the computing device to:

• receive, by the computing device, a request to generate an explanation of a recommendation to a user, wherein the request comprises a recommended title and a profile history of the user;
• select, by the computing device, a set of previous titles from the profile history that exceeds a threshold similarity score for the recommended title;
• extract, by fetching descriptive information about each previous title in the set of previous titles, a set of keywords for the set of previous titles;
• automatically prompt, based on the set of keywords, a generative artificial intelligence (AI) model to generate the explanation of the recommendation using the set of previous titles;
• perform a safety check to filter the generated explanation;
• and
• send, by the computing device, the recommendation and the explanation to a client device of the user.